DIY-UAV: Micro drones for rescue missions

  • Problem - How to effectively use aerial robots to support rescue forces? - How to achieve good flight characteristics and long flight times? - How to enable simple and intuitive control? - How to efficiently record image data of the environment? - How to generate flight and image data for rescue forces? Implementation: The flying robot was designed in Autodesk Fusion360. In order to achieve high stability as well as low weight, the frame was milled from carbon. Mounts such as for GPS and 360° camera were 3D printed. A special feature is that the flying robot is not visible in the panoramic view of the 360° camera. The flight controller of the robot was set up using Ardupilot. The communication with the robot is done via MAVLink (UDP).To support different platforms, a software was realized as a web application. The front end was created using HTML, CSS and Javascript. The back end is based on Flask-Socket-IO (Python). For the intelligent recognition of motor vehicles a micro controller with an integrated camera is used. For the post-processing of flight and video data a pipeline was implemented for automation.

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  • Problem - How to effectively use aerial robots to support rescue forces? - How to achieve good flight characteristics and long flight times? - How to enable simple and intuitive control? - How to efficiently record image data of the environment? - How to generate flight and image data for rescue forces? Implementation: The flying robot was designed in Autodesk Fusion360. In order to achieve high stability as well as low weight, the frame was milled from carbon. Mounts such as for GPS and 360° camera were 3D printed. A special feature is that the flying robot is not visible in the panoramic view of the 360° camera. The flight controller of the robot was set up using Ardupilot. The communication with the robot is done via MAVLink (UDP).To support different platforms, a software was realized as a web application. The front end was created using HTML, CSS and Javascript. The back end is based on Flask-Socket-IO (Python). For the intelligent recognition of motor vehicles a micro controller with an integrated camera is used. For the post-processing of flight and video data a pipeline was implemented for automation.

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Metadaten
Author:Julien Meine, Niklas Voigt, Jan-Niklas Kremer, Niklas Digakis, Max Schulte
URN:urn:nbn:de:hbz:1010-opus4-43104
Document Type:video
Language:English
Date of Publication (online):2023/02/02
Year of first Publication:2023
Publishing Institution:Westfälische Hochschule Gelsenkirchen Bocholt Recklinghausen
Release Date:2024/01/26
Departments / faculties:Fachbereiche / Informatik und Kommunikation
Licence (German):License LogoCreative Commons - Namensnennung

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